Abstract object

Results: 832



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11

Design of an Enhanced FOD Inspection System for the Aircraft Assembly Process Justin Amoyal, Roman Garber, Marwan Karama, Meba Kassahun and Anoosha Koohi George Mason University, @gmu.edu Abstract – Foreign object debr

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Source URL: catsr.ite.gmu.edu

Language: English - Date: 2015-05-06 17:19:19
    12

    Anticipating Human Activities using Object Affordances for Reactive Robotic Response Hema S. Koppula and Ashutosh Saxena. Department of Computer Science, Cornell University. {hema,asaxena}@cs.cornell.edu Abstract—An im

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    Source URL: pr.cs.cornell.edu

    Language: English - Date: 2013-08-01 23:34:33
      13

      Modelica® - A Unified Object-Oriented Language for Physical Systems Modeling Language Specification Version 3.2 Revision 1 February 29, 2012 Abstract

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      Source URL: www.modelica.org

      Language: English - Date: 2013-07-31 10:11:40
        14

        Estimating Object Hardness with a GelSight Touch Sensor Wenzhen Yuan1 , Mandayam A. Srinivasan2 and Edward H. Adelson3 Abstract— Hardness sensing is a valuable capability for a robot touch sensor. We describe a novel m

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        Source URL: people.csail.mit.edu

        Language: English - Date: 2016-11-28 22:45:15
          15

          Probabilistic Coarse-To-Fine Object Recognition No Author Given No Institute Given Abstract. A coarse-to-fine probabilistic model for objects in images is presented. We build upon the framework introduced in [1, 2], whe

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          Source URL: www.vision.caltech.edu

          Language: English - Date: 2016-12-13 08:54:00
            16

            Deny Capabilities for Safe, Fast Actors Abstract nessOne issue with these systems is that what a reference is allowed to do must be used to reason about what other references to the same object must be prevented

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            Source URL: www.ponylang.org

              17

              Efficient Grasping from RGBD Images: Learning using a new Rectangle Representation Yun Jiang, Stephen Moseson, and Ashutosh Saxena Abstract— Given an image and an aligned depth map of an object, our goal is to estimate

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              Source URL: pr.cs.cornell.edu

              - Date: 2011-06-22 18:43:14
                18

                Anticipating Human Activities using Object Affordances for Reactive Robotic Response Hema S. Koppula and Ashutosh Saxena. Department of Computer Science, Cornell University. {hema,asaxena}@cs.cornell.edu Abstract—An im

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                Source URL: www.cs.cornell.edu

                - Date: 2013-08-02 00:03:57
                  19

                  Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds Jaeyong Sung, Seok Hyun Jin, and Ashutosh Saxena Abstract There is a large variety of objects and appliances in

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                  Source URL: robobarista.cs.cornell.edu

                  - Date: 2015-08-16 08:21:19
                    20

                    Learning Deep Object Detectors from 3D Models Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko University of Massachusetts Lowell {xpeng,bsun,karim,saenko}@cs.uml.edu Abstract

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                    Source URL: www.karimali.org

                    - Date: 2016-03-14 23:29:09
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